📌 Lessons Learned from Upgrading to LangChain 1.0 in Production

🗂 Category: AGENTIC AI

🕒 Date: 2025-12-15 | ⏱️ Read time: 5 min read

What worked, what broke, and why I did it

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📌 The Machine Learning “Advent Calendar” Day 15: SVM in Excel

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-15 | ⏱️ Read time: 12 min read

Instead of starting with margins and geometry, this article builds the Support Vector Machine step…

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📌 When (Not) to Use Vector DB

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-12-16 | ⏱️ Read time: 8 min read

When indexing hurts more than it helps: how we realized our RAG use case needed…

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📌 Separate Numbers and Text in One Column Using Power Query

🗂 Category: DATA SCIENCE

🕒 Date: 2025-12-16 | ⏱️ Read time: 6 min read

An Excel sheet with a column containing numbers and text? What a mess!

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📌 The Machine Learning “Advent Calendar” Day 16: Kernel Trick in Excel

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-16 | ⏱️ Read time: 8 min read

Kernel SVM often feels abstract, with kernels, dual formulations, and support vectors. In this article,…

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📌 Lessons Learned After 8 Years of Machine Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-16 | ⏱️ Read time: 7 min read

Deep work, over-identification, sports, and blogging

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📌 A Practical Toolkit for Time Series Anomaly Detection, Using Python

🗂 Category: DATA SCIENCE

🕒 Date: 2025-12-17 | ⏱️ Read time: 9 min read

Here’s how to detect point anomalies within each series, and identify anomalous signals across the…

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📌 The Machine Learning “Advent Calendar” Day 17: Neural Network Regressor in Excel

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-17 | ⏱️ Read time: 7 min read

Neural networks often feel like black boxes. In this article, we build a neural network…

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📌 Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach

🗂 Category: AGENTIC AI

🕒 Date: 2025-12-17 | ⏱️ Read time: 12 min read

LLM-as-a-Judge, regression testing, and end-to-end traceability of multi-agent LLM systems

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📌 3 Techniques to Effectively Utilize AI Agents for Coding

🗂 Category: LLM APPLICATIONS

🕒 Date: 2025-12-17 | ⏱️ Read time: 8 min read

Learn how to be an effective engineer with coding agents

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📌 4 Ways to Supercharge Your Data Science Workflow with Google AI Studio

🗂 Category: LLM APPLICATIONS

🕒 Date: 2025-12-18 | ⏱️ Read time: 11 min read

With concrete examples of using AI Studio Build mode to learn faster, prototype smarter, communicate…

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📌 The Subset Sum Problem Solved in Linear Time for Dense Enough Inputs

🗂 Category: ALGORITHMS

🕒 Date: 2025-12-18 | ⏱️ Read time: 31 min read

An optimal solution to the well-known NP-complete problem, when the input values are close enough…

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📌 Generating Artwork in Python Inspired by Hirst’s Million-Dollar Spots Painting

🗂 Category: PROGRAMMING

🕒 Date: 2025-12-18 | ⏱️ Read time: 6 min read

Using Python to generate art

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📌 The Machine Learning “Advent Calendar” Day 18: Neural Network Classifier in Excel

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-18 | ⏱️ Read time: 12 min read

Understanding forward propagation and backpropagation through explicit formulas

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📌 The Machine Learning “Advent Calendar” Day 19: Bagging in Excel

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-19 | ⏱️ Read time: 11 min read

Understanding ensemble learning from first principles in Excel

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📌 Agentic AI Swarm Optimization using Artificial Bee Colonization (ABC)

🗂 Category: AGENTIC AI

🕒 Date: 2025-12-19 | ⏱️ Read time: 27 min read

Using Agentic AI prompts with the Artificial Bee Colony algorithm to enhance unsupervised clustering and…

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📌 How I Optimized My Leaf Raking Strategy Using Linear Programming

🗂 Category: DATA SCIENCE

🕒 Date: 2025-12-19 | ⏱️ Read time: 13 min read

From a weekend chore to a fun application of valuable operations research principles

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📌 Six Lessons Learned Building RAG Systems in Production

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-12-19 | ⏱️ Read time: 10 min read

Best practices for data quality, retrieval design, and evaluation in production RAG systems

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📌 Understanding the Generative AI User

🗂 Category: PRODUCT MANAGEMENT

🕒 Date: 2025-12-20 | ⏱️ Read time: 11 min read

What do regular technology users think (and know) about AI?

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📌 EDA in Public (Part 2): Product Deep Dive & Time-Series Analysis in Pandas

🗂 Category: DATA SCIENCE

🕒 Date: 2025-12-20 | ⏱️ Read time: 9 min read

Learn how to analyze product performance, extract time-series features, and uncover key seasonal trends in…

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